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cff-version: 1.2.0
message: 'To cite package "clusterWebApp" in publications use:'
type: software
license: MIT
title: 'clusterWebApp: Universal Clustering Analysis Platform'
version: 0.1.3
doi: 10.32614/CRAN.package.clusterWebApp
abstract: 'An interactive platform for clustering analysis and teaching based on the
  ''shiny'' web application framework. Supports multiple popular clustering algorithms
  including k-means, hierarchical clustering, DBSCAN (Density-Based Spatial Clustering
  of Applications with Noise), PAM (Partitioning Around Medoids), GMM (Gaussian Mixture
  Model), and spectral clustering. Users can upload datasets or use built-in ones,
  visualize clustering results using dimensionality reduction methods such as Principal
  Component Analysis (PCA) and t-distributed Stochastic Neighbor Embedding (t-SNE),
  evaluate clustering quality via silhouette plots, and explore method-specific visualizations
  and guides. For details on implemented methods, see: Reynolds (2009, ISBN:9781598296975)
  for GMM; Luxburg (2007) <https://doi.org/10.1007/s11222-007-9033-z> for spectral
  clustering.'
authors:
- family-names: Zhou
  given-names: Yijin
  email: yijin_zhou1116@163.com
repository: https://yjzhou16.r-universe.dev
commit: a0b30e37f36c999f6fa5b697a04ff0eedd9d17fc
date-released: '2025-07-14'
contact:
- family-names: Zhou
  given-names: Yijin
  email: yijin_zhou1116@163.com